Research On Offloading Strategy Of Mobile Edge Computing Based On Multi-hop Transmission Of Connected Vehicles

With the rapid development of the Internet of Vehicles industry,its application scenarios are becoming more and more abundant,and the corresponding computing tasks are also increasing.The Internet of Vehicles technology that only relies on traditional cloud computing can no longer meet the calculation-intensive tasks with low latency requirements.Emerging technologies such as fiery augmented reality and unmanned driving.For this reason,mobile edge computing offloading technology is introduced in the Internet of Vehicles,which reduces the central pressure of cloud computing to the edge network,and offloads vehicle tasks to the edge server nearby,reducing the data transmission distance,improving the overall storage and computing capacity of the Internet of Vehicles,and reducing vehicle tasks.Average delay.However,the vehicle self-organizing network uses high-speed moving vehicles as the basic nodes,the connection is intermittent,and the topology changes frequently,which brings challenges to the decision-making of computing task offloading.In summary,in order to solve the problem of vehicle task offloading and considering the cost of mobile edge computing servers,this paper proposes a mobile edge computing offloading strategy based on multi-hop transmission of networked vehicles.First,in order to improve the success rate of vehicle missions,reduce vehicle mission delays,and solve the problem of MEC server cost,the multi-hop transmission method based on networked vehicles is adopted to strengthen the communication between vehicles.Under the premise that the number of mobile edge computing servers is limited,through The prediction of the vehicle’s future trajectory effectively discovers the best real-time multi-hop transmission path of the vehicle network to ensure that the computing task is successfully offloaded to the mobile edge computing server within the time delay requirement.Secondly,according to the plan proposed in this paper,a pre-unloading plan with multi-hop transmission of networked vehicles as the core is formulated,and the plan considers the calculation of the packet loss rate of vehicles in motion and the "intrastream competition" of end-to-end transmission.In addition,it is also necessary to consider the computing power of the MEC server,determine whether a single MEC server can meet the task requirements based on the pre-offload calculation results,and determine whether it is necessary to continue searching for the next MEC server based on this.Finally,the simulation experiment results show that,compared with the traditional mobile edge offloading strategy,the mobile edge computing offloading strategy based on networked vehicle multi-hop transmission proposed in this paper has a higher task success rate and a lower average task delay.All aspects of performance are better than traditional edge computing offloading strategies.Among them,the task unloading success rate increased by an average of 10.06%,and the task delay was reduced by an average of 8.62%.